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Data Analysis Intern Jobs in Virginia (NOW HIRING)

Requirements The Health Data Analyst Intern supports the Commence Data team with entry-level ... Support a scoped analysis or documentation project and share a summary/ presentation of the results ...

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Data Analysis Intern information

See Virginia salary details

$11

$22

$41

How much do data analysis intern jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for data analysis intern in Virginia is $22.31, according to ZipRecruiter salary data. Most workers in this role earn between $17.16 and $24.33 per hour, depending on experience, location, and employer.

What does a data analysis intern do?

A data analysis intern supports a data analyst while obtaining valuable practical experience to pursue a position in the field. Your responsibilities in this position include delivering data, formatting information, querying databases for sales, marketing, accounting, and other departments, developing and updating reports, and assisting with projects when needed. Your duties also include evaluating analysis systems, collaborating with other teams, responding to requests for analysis, and investigating data discrepancies. You collect information and review the model to offer recommendations.

What are the key skills and qualifications needed to thrive as a data analysis intern, and why are they important?

To thrive as a Data Analysis Intern, you should have a solid understanding of statistics, data management, and analytical thinking, often supported by coursework in mathematics, statistics, or a related field. Familiarity with tools like Excel, SQL, Python, or R, as well as data visualization platforms such as Tableau or Power BI, is typically expected. Attention to detail, problem-solving abilities, and effective communication help interns interpret data accurately and present insights clearly. These skills are vital for transforming raw data into actionable insights that support business decision-making.

What are some common challenges faced by data analysis interns during their internship, and how can they overcome them?

Data Analysis Interns often encounter challenges such as working with large, unstructured datasets and learning to use new analysis tools or programming languages. Navigating ambiguous project requirements and balancing multiple deadlines can also be difficult. To overcome these obstacles, interns are encouraged to proactively communicate with their mentors, seek feedback regularly, and make use of available resources such as online tutorials or internal documentation. Collaborating with teammates and asking questions fosters learning and helps interns efficiently resolve roadblocks.

What is the difference between Data Analysis Intern vs Data Analyst?

AspectData Analysis InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some certifications
Work EnvironmentInternship setting, entry-level tasks, supervisedFull-time role, more independent responsibilities
Employer & Industry UsageInternships in various industries, educational focusEstablished roles in finance, tech, healthcare, etc.
Common Search & Comparison IntentUnderstanding entry-level opportunities, learning rolesCareer progression, skill requirements

The main difference between a Data Analysis Intern and a Data Analyst lies in experience, responsibilities, and employment status. Interns are usually students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling more complex tasks independently. Internships serve as stepping stones toward becoming a full Data Analyst.

Is a data analysis intern internship worth it?

A data analysis intern internship provides practical experience with tools like Excel, SQL, and Python, and helps develop skills in data visualization and reporting. It can enhance a resume, improve job prospects, and offer networking opportunities, making it a valuable step for those pursuing a career in data analysis.

What are the most commonly searched types of Data Analysis jobs in Virginia?

The most popular types of Data Analysis jobs in Virginia are:

What cities in Virginia are hiring for Data Analysis Intern jobs?

Cities in Virginia with the most Data Analysis Intern job openings:

Infographic showing various Data Analysis Intern job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $46,408 per year, or $22.3 per hour.

Health Data Analyst Intern

Commence

Virginia Beach, VA • On-site

$20/hr

Part-time, Internship

Posted 12 days ago


Job description

Description

At Commence, we're the start of a new age of data-centric transformation, elevating health outcomes and powering better, more efficient process to program and patient health. We combine quality data-driven solutions that fuel answers, technology that advances performance, and clinical expertise that builds trust to create a more efficient path to quality care. 


With human-centered, healthcare-relevant, and value-based solutions, we create new possibilities with data. We provide proof beyond the concept and performance beyond the scope with a focus on efficiencies that transform the lives of those we serve. With a culture driven by purpose, straightforward communication and clinical domain expertise, Commence cuts straight to better care.? 

Requirements

The Health Data Analyst Intern supports the Commence Data team with entry-level analytic and data quality work in a supervised, learning-focused role. Working under the direction of a Data team manager, the intern assists with data profiling, quality checks, documentation, and descriptive reporting that support Commence's healthcare data programs.

This is a part-time, temporary internship for one academic semester. It is designed to give the intern practical exposure to healthcare data in a regulated environment while contributing useful work to the team.


Specific assignments are defined with the supervising manager during onboarding and are tailored to team priorities and the intern's academic background and interests. Depending on the projects active during the term, the intern may:

  • Assist with data profiling and quality checks on assigned datasets, such as completeness, value range, duplicate, and consistency reviews.
  • Write and run basic SQL queries or simple Python or R scripts against defined datasets under supervision.
  • Help prepare descriptive summary tables, counts, and simple charts from specifications provided by the team.
  • Contribute to data dictionary and documentation entries, including field definitions and known data issues.
  • Research and summarize reference material such as CMS quality measure specifications or program documentation.
  • Support a scoped analysis or documentation project and share a summary/ presentation of the results with the team.
  • Observe and participate in team working sessions to build familiarity with how healthcare data moves through Commence programs.
  • Take on other related assignments appropriate to the intern's experience level.

Regardless of the assignments selected, the intern is expected to:

  • Complete all required onboarding, security awareness, and HIPAA privacy training prior to receiving data access.
  • Follow Commence data handling, privacy, and security policies at all times.
  • Perform assigned work under the direction and review of the supervising manager, and raise questions or data anomalies rather than resolving them independently.
  • Document work so that methods and results can be reviewed and reproduced by others.
  • Attend recurring check-ins and provide regular status updates to the supervising manager.
  • Maintain a consistent, agreed-upon schedule throughout the term.

Qualifications

  • Currently enrolled in an accredited undergraduate or graduate program in public health, health informatics, biostatistics, epidemiology, data science, statistics, economics, or a related field.
  • Completed coursework in statistics, data analysis, or database fundamentals.
  • Foundational proficiency in SQL and Microsoft Excel; introductory exposure to Python or R.
  • Clear written communication and demonstrated attention to detail; able to document work so that someone else can reproduce it.
  • Able to follow data handling, privacy, and security requirements, and to ask before acting when a requirement is unclear.
  • Legally authorized to work in the United States; must successfully complete a background check.

Preferred Qualifications

  • Familiarity with Medicare or Medicaid claims data, CMS programs, or healthcare quality measures.
  • Exposure to Databricks, Snowflake, Power BI, or Tableau.
  • Prior HIPAA or human subjects research training.
  • Coursework or a project involving health services research, health policy, or population health analytics.

Additional Requirements

  • The intern's specific assignments, schedule, and scope of work are established with the supervising manager during onboarding and may be adjusted during the term by mutual agreement.
  • All work is performed using Commence-provided accounts and approved equipment. Company data may not be stored on personal devices or personal cloud accounts.
  • Access to protected health information, if required, is granted only after completion of HIPAA training and with documented, role-based approval.

Work Environment / Physical Demands

The work environment and physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.


This is a remote position. Candidates must be able to sit, read, work on a computer, and watch a computer screen for extended periods of time. Occasionally required to stand, walk, use hands and fingers, kneel or crouch.


Commence is an equal employment opportunity employer. All personnel processes are merit-based and applied without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, marital status, age, disability, national or ethnic origin, military and veteran status or any other characteristic protected by applicable law. 


Commence is committed to providing equal employment opportunities to all applicants, including individuals with disabilities. If you require a reasonable accommodation to participate in the application process due to a disability, please contact Human Resources at (757) 306-4920 or hr@commence.ai. Please note that unless you are requesting an accommodation, all applications must be submitted through our online application system.